Triple
T19103258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punganur |
E467587
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
AP
AP is the vehicle registration code for the Indian state of Andhra Pradesh.
|
E102106
|
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: AP | Statement: [Punganur, hasVehicleRegistrationCode, AP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AP Context triple: [Punganur, hasVehicleRegistrationCode, AP]
-
A.
AP
AP is a U.S.-based college-level program and exam system for high school students that can earn them advanced placement or credit at many universities.
-
B.
AP
AP is the standard abbreviation for the Pacific Alliance, a Latin American trade bloc focused on economic integration and free movement of goods, services, capital, and people among its member countries.
-
C.
AP
AP is the official two-letter postal abbreviation for the Brazilian state of Amapá.
-
D.
AP
AP is the Associated Press, a major American news agency known for its global news coverage and influential journalism awards.
-
E.
AP
AP is the station code for Antipolo station on Manila’s LRT Line 2 in the Philippines.
- 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: AP Triple: [Punganur, hasVehicleRegistrationCode, AP]
Generated description
AP is the vehicle registration code for the Indian state of Andhra Pradesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AP Target entity description: AP is the vehicle registration code for the Indian state of Andhra Pradesh.
-
A.
AP
chosen
AP is the official vehicle registration code for the Indian state of Andhra Pradesh.
-
B.
AP
AP is the former vehicle registration code for the Indian state of Andhra Pradesh.
-
C.
AP
AP is the vehicle registration code used on license plates for vehicles registered in the Argolis regional unit of Greece.
-
D.
AP
AP is the official two-letter postal abbreviation for the Brazilian state of Amapá.
-
E.
AP
AP is the standard abbreviation for the Pacific Alliance, a Latin American trade bloc focused on economic integration and free movement of goods, services, capital, and people among its member countries.
- F. None of above.
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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36f84048190a62c52411eb55411 |
completed | April 20, 2026, 8:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dd9dae4c8190ae5950a27ac670cb |
completed | May 14, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_6a05e0a88664819083e3385c1cc5db34 |
completed | May 14, 2026, 2:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e12912e4819089dfef296b0f8980 |
completed | May 14, 2026, 2:50 p.m. |
Created at: April 10, 2026, 12:04 p.m.