Triple
T3746209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transit Access Pass |
E81216
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object |
TAP
TAP is a reusable smart fare card system used for paying transit fares across multiple public transportation agencies in the Los Angeles County area.
|
E384349
|
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: TAP | Statement: [Transit Access Pass, brandName, TAP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAP Context triple: [Transit Access Pass, brandName, TAP]
-
A.
TAP
TAP is the ICAO airline designator for TAP Air Portugal, the flag carrier airline of Portugal.
-
B.
TPA
TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
-
C.
TPA
TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
-
D.
Tap
Tap is a 1989 dance drama film showcasing Gregory Hines’s tap-dancing talent alongside an ensemble of legendary hoofers.
-
E.
TA
TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
- 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: TAP Triple: [Transit Access Pass, brandName, TAP]
Generated description
TAP is a reusable smart fare card system used for paying transit fares across multiple public transportation agencies in the Los Angeles County area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TAP Target entity description: TAP is a reusable smart fare card system used for paying transit fares across multiple public transportation agencies in the Los Angeles County area.
-
A.
TAP
TAP is the ICAO airline designator for TAP Air Portugal, the flag carrier airline of Portugal.
-
B.
TPA
TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
-
C.
TPA
TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
-
D.
Tap
Tap is a 1989 dance drama film showcasing Gregory Hines’s tap-dancing talent alongside an ensemble of legendary hoofers.
-
E.
TA
TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb680ddc819094205beb342699f9 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db2c2c5081909b83d89c989a8d1c |
completed | March 14, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_69b4dbd0b6e88190a857afe3c1041788 |
completed | March 14, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dc5114ec8190aee92e21a48ae268 |
completed | March 14, 2026, 3:56 a.m. |
Created at: March 8, 2026, 3:35 p.m.