Triple
T37836582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Caucasus Pipeline |
E943353
|
entity |
| Predicate | sourceField |
P58693
|
FINISHED |
| Object |
Shah Deniz gas field
Shah Deniz gas field is a major natural gas and condensate field in the Caspian Sea off Azerbaijan, serving as a key source for regional and European gas supplies.
|
E2245714
|
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: Shah Deniz gas field | Statement: [South Caucasus Pipeline, sourceField, Shah Deniz gas 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: Shah Deniz gas field Triple: [South Caucasus Pipeline, sourceField, Shah Deniz gas field]
Generated description
Shah Deniz gas field is a major natural gas and condensate field in the Caspian Sea off Azerbaijan, serving as a key source for regional and European gas supplies.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceField Context triple: [South Caucasus Pipeline, sourceField, Shah Deniz gas field]
-
A.
keyFieldSource
Indicates that one field serves as the originating or primary source for a key value used to identify or link related data.
-
B.
source
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
C.
fromField
chosen
Indicates that something originates in, is sourced from, or is associated with a particular field or domain.
-
D.
sourceCategory
Indicates the classification or type from which something originates or is derived.
-
E.
targetsField
Indicates that one entity is directed toward, focuses on, or is intended to affect a specific field or attribute of another entity.
- F. None of above.
Provenance (6 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40fb858c688190a3c762068bf97993 |
completed | June 28, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a40fc1014b481909d49228689c8a7d7 |
completed | June 28, 2026, 10:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40fd1546c081909e9ceebadb9ef51a |
completed | June 28, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:19 p.m.