Triple
T15265527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conflent |
E364891
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Codalet
Codalet is a small commune in the Pyrénées-Orientales department of southern France, known for its picturesque setting in the historic Conflent region.
|
E1147495
|
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: Codalet | Statement: [Conflent, containsTown, Codalet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Codalet Context triple: [Conflent, containsTown, Codalet]
-
A.
Consiva
Consiva is a company or brand name, likely associated with operations or business services under the label "Ops Consiva."
-
B.
IronWolf
IronWolf is Seagate’s line of hard drives designed specifically for high-capacity, always-on network-attached storage (NAS) systems.
-
C.
Trilogy Systems
Trilogy Systems was a pioneering but ultimately unsuccessful 1980s startup founded by computer architect Gene Amdahl to develop advanced mainframe computers using cutting-edge semiconductor technology.
-
D.
Zyvex
Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
-
E.
Fordata
Fordata is one of the islands in Indonesia’s Tanimbar archipelago, located in the Maluku province.
- 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: Codalet Triple: [Conflent, containsTown, Codalet]
Generated description
Codalet is a small commune in the Pyrénées-Orientales department of southern France, known for its picturesque setting in the historic Conflent region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Codalet Target entity description: Codalet is a small commune in the Pyrénées-Orientales department of southern France, known for its picturesque setting in the historic Conflent region.
-
A.
Consiva
Consiva is a company or brand name, likely associated with operations or business services under the label "Ops Consiva."
-
B.
IronWolf
IronWolf is Seagate’s line of hard drives designed specifically for high-capacity, always-on network-attached storage (NAS) systems.
-
C.
Trilogy Systems
Trilogy Systems was a pioneering but ultimately unsuccessful 1980s startup founded by computer architect Gene Amdahl to develop advanced mainframe computers using cutting-edge semiconductor technology.
-
D.
Zyvex
Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
-
E.
Fordata
Fordata is one of the islands in Indonesia’s Tanimbar archipelago, located in the Maluku province.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee600340c8190a1888d35c2c1bc86 |
completed | May 9, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fee714cf6c81908dc4427590eeae85 |
completed | May 9, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feeae4731081909964bd8b1ea3dd7a |
completed | May 9, 2026, 8:05 a.m. |
Created at: April 10, 2026, 3:14 a.m.