Triple
T26226642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directorate General of Valuation (Customs) |
E655907
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object |
Indian Customs field formations
Indian Customs field formations are the network of regional and local customs offices across India responsible for implementing customs laws, assessing duties, and enforcing border control regulations on the ground.
|
E1716002
|
NE FINISHED |
How this triple was built (2 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: Indian Customs field formations | Statement: [Directorate General of Valuation (Customs), worksWith, Indian Customs field formations]
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: Indian Customs field formations Triple: [Directorate General of Valuation (Customs), worksWith, Indian Customs field formations]
Generated description
Indian Customs field formations are the network of regional and local customs offices across India responsible for implementing customs laws, assessing duties, and enforcing border control regulations on the ground.
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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d53d94081909d0ae8f05e8de84c |
completed | May 2, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1185968d588190a14f6f147291ab8f |
completed | May 23, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a1186f12e8c8190a7c1f7678e612425 |
completed | May 23, 2026, 10:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11876410f4819091b6b45abd657f54 |
completed | May 23, 2026, 10:54 a.m. |
Created at: April 26, 2026, 8:58 p.m.