Triple
T13260596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont/Santa Monica |
E315781
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
VTSA
VTSA is the station code assigned to the Vermont/Santa Monica station on the Los Angeles Metro system.
|
E1030070
|
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: VTSA | Statement: [Vermont/Santa Monica, hasStationCode, VTSA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VTSA Context triple: [Vermont/Santa Monica, hasStationCode, VTSA]
-
A.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
-
B.
VTSG
VTSG is the ICAO airport code for Krabi International Airport in Krabi, Thailand.
-
C.
VTSP
VTSP is the ICAO airport code for Phuket International Airport, a major international gateway to the island of Phuket in Thailand.
-
D.
VETZ
VETZ is the ICAO airport code assigned to Tezpur Airport in Assam, India.
-
E.
V_ts
V_ts is an element of the Cabibbo–Kobayashi–Maskawa (CKM) quark mixing matrix that quantifies the weak-interaction coupling between top and strange quarks in the Standard Model of particle physics.
- 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: VTSA Triple: [Vermont/Santa Monica, hasStationCode, VTSA]
Generated description
VTSA is the station code assigned to the Vermont/Santa Monica station on the Los Angeles Metro system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VTSA Target entity description: VTSA is the station code assigned to the Vermont/Santa Monica station on the Los Angeles Metro system.
-
A.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
-
B.
VTSG
VTSG is the ICAO airport code for Krabi International Airport in Krabi, Thailand.
-
C.
VTSP
VTSP is the ICAO airport code for Phuket International Airport, a major international gateway to the island of Phuket in Thailand.
-
D.
VETZ
VETZ is the ICAO airport code assigned to Tezpur Airport in Assam, India.
-
E.
V_ts
V_ts is an element of the Cabibbo–Kobayashi–Maskawa (CKM) quark mixing matrix that quantifies the weak-interaction coupling between top and strange quarks in the Standard Model of particle physics.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4612cc8190b45673a3994cee18 |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70c42d5008190bcd6275054637448 |
completed | May 3, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ce60a7081908f9498fcfec98e90 |
completed | May 3, 2026, 8:52 a.m. |
Created at: April 9, 2026, 9:25 p.m.