Triple
T37316062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations LRT Station |
E926334
|
entity |
| Predicate | sequenceOnLine1 |
P119536
|
FINISHED |
| Object | between Central Terminal and Pedro Gil stations |
—
|
LITERAL 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: between Central Terminal and Pedro Gil stations | Statement: [United Nations LRT Station, sequenceOnLine1, between Central Terminal and Pedro Gil stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceOnLine1 Context triple: [United Nations LRT Station, sequenceOnLine1, between Central Terminal and Pedro Gil stations]
-
A.
sequenceBegins
Indicates that one sequence starts at the beginning of, or is the initial part of, another sequence.
-
B.
sequenceInWork
Indicates that one work appears as a sequential part or installment within a larger overarching work.
-
C.
secondInLine
Indicates that one entity occupies the second position in a sequence or queue immediately following the first.
-
D.
sequenceWith
chosen
Indicates that one entity occurs in a specific order directly before or after another entity as part of a defined sequence.
-
E.
line1Section
Indicates that one entity is a specific section or segment of another entity referred to as "line1."
- F. None of above.
Provenance (3 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_69f76eb28af88190b093b32e3fd614ab |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.