Triple
T38156201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oloibiri |
E952892
|
entity |
| Predicate | oilFieldName |
P190150
|
FINISHED |
| Object |
Oloibiri oil field
Oloibiri oil field is a historically significant Nigerian oil field in the Niger Delta, known as the site of the country’s first commercial oil discovery in 1956.
|
E2257143
|
NE FINISHED |
How this triple was built (3 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: Oloibiri oil field | Statement: [Oloibiri, oilFieldName, Oloibiri oil field]
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: Oloibiri oil field Triple: [Oloibiri, oilFieldName, Oloibiri oil field]
Generated description
Oloibiri oil field is a historically significant Nigerian oil field in the Niger Delta, known as the site of the country’s first commercial oil discovery in 1956.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oilFieldName Context triple: [Oloibiri, oilFieldName, Oloibiri oil field]
-
A.
containsOilField
Indicates that one entity geographically includes or encompasses an oil field within its boundaries.
-
B.
oilContent
Indicates the amount or proportion of oil present in a given substance, material, or item.
-
C.
discoveredAsOilField
Indicates that a location or resource was identified and recognized specifically as an oil field.
-
D.
hasNearbyOilField
Indicates that an entity is located close to or in the vicinity of an oil field.
-
E.
nearbyOilField
Indicates that one location is situated close to an oil field.
- F. None of above. chosen
Provenance (7 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a417136b0a481908716318213f9130f |
completed | June 28, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_6a417212405c8190a2ff740f6d08c3f1 |
completed | June 28, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41728fc1a0819095243c1ef249ace3 |
completed | June 28, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcb088aac481909db90804faff315f |
completed | May 7, 2026, 3:32 p.m. |
Created at: May 3, 2026, 4:21 p.m.