Triple
T1871285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borkou-Ennedi-Tibesti |
E39039
|
entity |
| Predicate | borderRegionOfChad |
P10768
|
FINISHED |
| Object |
Ouaddaï
Ouaddaï is an eastern region of Chad known historically as the center of the former Wadai Sultanate and for its strategic location near the Sudanese border.
|
E212830
|
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: Ouaddaï | Statement: [Borkou-Ennedi-Tibesti, borderRegionOfChad, Ouaddaï]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouaddaï Context triple: [Borkou-Ennedi-Tibesti, borderRegionOfChad, Ouaddaï]
-
A.
Congo
Congo is a Central African country whose economy is heavily reliant on oil production and exports.
-
B.
Ovambo
Ovambo is a Bantu language spoken primarily by the Ovambo people in northern Namibia and southern Angola.
-
C.
Dinka
Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
-
D.
Cross River
Cross River is a tributary stream in New York State that feeds the Cross River Reservoir and ultimately forms part of the New York City water supply system.
-
E.
Río de Oro
Río de Oro was a former Spanish colonial territory in northwest Africa that later became part of the disputed region of Western Sahara.
- 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: Ouaddaï Triple: [Borkou-Ennedi-Tibesti, borderRegionOfChad, Ouaddaï]
Generated description
Ouaddaï is an eastern region of Chad known historically as the center of the former Wadai Sultanate and for its strategic location near the Sudanese border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ouaddaï Target entity description: Ouaddaï is an eastern region of Chad known historically as the center of the former Wadai Sultanate and for its strategic location near the Sudanese border.
-
A.
Congo
Congo is a Central African country whose economy is heavily reliant on oil production and exports.
-
B.
Ovambo
Ovambo is a Bantu language spoken primarily by the Ovambo people in northern Namibia and southern Angola.
-
C.
Dinka
Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
-
D.
Cross River
Cross River is a tributary stream in New York State that feeds the Cross River Reservoir and ultimately forms part of the New York City water supply system.
-
E.
Río de Oro
Río de Oro was a former Spanish colonial territory in northwest Africa that later became part of the disputed region of Western Sahara.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb7c376208190bbf28504f1aac881 |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae06e5c8190b20cce9c047f6087 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adebd146408190b80a7d8e8974a90d |
completed | March 8, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec551c688190a0bcdc16ab6e3ecc |
completed | March 8, 2026, 9:38 p.m. |
Created at: March 4, 2026, 7:34 p.m.