Triple
T37601411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AH26 |
E935533
|
entity |
| Predicate | isNumberedWithinCountryAs |
P138276
|
FINISHED |
| Object | AH26 and national route numbers of the Philippines |
—
|
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: AH26 and national route numbers of the Philippines | Statement: [AH26, isNumberedWithinCountryAs, AH26 and national route numbers of the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNumberedWithinCountryAs Context triple: [AH26, isNumberedWithinCountryAs, AH26 and national route numbers of the Philippines]
-
A.
isNumberedWithinState
chosen
Indicates that an entity has an assigned number that is unique or valid only within the context or boundaries of a particular state.
-
B.
isCountryCode
Indicates that one entity is a valid country code designating the country represented by the other entity.
-
C.
isNumbered
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
D.
isNumberedZone
Indicates that an area or zone is assigned a specific numerical identifier within a defined system or scheme.
-
E.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.