Triple
T10745888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacq gas field |
E253447
|
entity |
| Predicate | discoveredBy |
P412
|
FINISHED |
| Object |
SNPA
SNPA (Société Nationale des Pétroles d’Aquitaine) was a French state-owned oil and gas company best known for its role in exploring and developing major hydrocarbon fields in southwestern France.
|
E883895
|
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: SNPA | Statement: [Lacq gas field, discoveredBy, SNPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SNPA Context triple: [Lacq gas field, discoveredBy, SNPA]
-
A.
SNASPE
SNASPE is Chile’s national network of protected wild areas, encompassing national parks, reserves, and natural monuments managed to conserve the country’s biodiversity and ecosystems.
-
B.
SPN
SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
-
C.
SPN
SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
-
D.
SPN
SPN is the vehicle registration code used on license plates for the town of Spremberg in Germany.
-
E.
SNA
SNA is the IATA airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
- 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: SNPA Triple: [Lacq gas field, discoveredBy, SNPA]
Generated description
SNPA (Société Nationale des Pétroles d’Aquitaine) was a French state-owned oil and gas company best known for its role in exploring and developing major hydrocarbon fields in southwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SNPA Target entity description: SNPA (Société Nationale des Pétroles d’Aquitaine) was a French state-owned oil and gas company best known for its role in exploring and developing major hydrocarbon fields in southwestern France.
-
A.
SNASPE
SNASPE is Chile’s national network of protected wild areas, encompassing national parks, reserves, and natural monuments managed to conserve the country’s biodiversity and ecosystems.
-
B.
SPN
SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
-
C.
SPN
SPN is the vehicle registration code used on license plates for the town of Spremberg in Germany.
-
D.
SPN
SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
-
E.
SNA
SNA is the IATA airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b77c4881909d16c6e82a9b86ca |
completed | April 9, 2026, 2:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de230b461c81909a98085079676b95 |
completed | April 14, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:15 p.m.