Triple
T8590701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the High Representative in Bosnia and Herzegovina |
E203420
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
OHR
OHR is the international body overseeing the civilian implementation of the Dayton Peace Agreement in Bosnia and Herzegovina.
|
E745184
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: OHR | Statement: [Office of the High Representative in Bosnia and Herzegovina, shortName, OHR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OHR Context triple: [Office of the High Representative in Bosnia and Herzegovina, shortName, OHR]
-
A.
ORH
ORH is the IATA airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, and the surrounding region.
-
B.
OHC
OHC is the acronym for the Office of Habitat Conservation, a division focused on protecting and restoring vital natural habitats.
-
C.
OEHR
OEHR is the abbreviated name for the Office of Equity and Human Rights, a governmental body focused on promoting equity, inclusion, and protection of human rights within its jurisdiction.
-
D.
OHE
OHE is the Office of Health Equity, a governmental body focused on promoting fair and just access to health services and outcomes across all populations.
-
E.
HOR
HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OHR Triple: [Office of the High Representative in Bosnia and Herzegovina, shortName, OHR]
Generated description
OHR is the international body overseeing the civilian implementation of the Dayton Peace Agreement in Bosnia and Herzegovina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OHR Target entity description: OHR is the international body overseeing the civilian implementation of the Dayton Peace Agreement in Bosnia and Herzegovina.
-
A.
ORH
ORH is the IATA airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, and the surrounding region.
-
B.
OHC
OHC is the acronym for the Office of Habitat Conservation, a division focused on protecting and restoring vital natural habitats.
-
C.
OEHR
OEHR is the abbreviated name for the Office of Equity and Human Rights, a governmental body focused on promoting equity, inclusion, and protection of human rights within its jurisdiction.
-
D.
OHE
OHE is the Office of Health Equity, a governmental body focused on promoting fair and just access to health services and outcomes across all populations.
-
E.
HOR
HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4665f1708190b736dd67593234d7 |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8b584088190bc5b8b2785894d82 |
completed | April 2, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69cea9cff1ec8190a0093fb42782341e |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa9f7f8c8190965e86880ff141d5 |
completed | April 2, 2026, 5:42 p.m. |
Created at: March 30, 2026, 6:23 p.m.