Triple
T2656564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mona ground iguana |
E54624
|
entity |
| Predicate | livesOn |
P42019
|
FINISHED |
| Object | island |
—
|
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: island | Statement: [Mona ground iguana, livesOn, island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livesOn Context triple: [Mona ground iguana, livesOn, island]
-
A.
isLocatedOn
Indicates that one entity exists at or is situated upon the surface or area of another entity.
-
B.
isHomeOf
Indicates that a place serves as the primary residence or base for a person, group, or organization.
-
C.
locatedAlong
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
-
D.
capitalCityLocatedOn
Indicates that a capital city is situated on or directly adjacent to a specific geographic feature, such as a river, coast, or lake.
-
E.
countryLocatedOn
Indicates that a country is geographically situated on or within the boundaries of a specified landmass, island, or continent.
- F. None of above. chosen
Provenance (4 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abda0a13308190a986df86270258a7 |
completed | March 7, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:53 p.m.