Triple
T28463804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnegieplein |
E720230
|
entity |
| Predicate | locatedInCityKnownAs |
P145774
|
FINISHED |
| Object | International City of Peace and Justice |
—
|
NE NERFINISHED |
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: International City of Peace and Justice | Statement: [Carnegieplein, locatedInCityKnownAs, International City of Peace and Justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCityKnownAs Context triple: [Carnegieplein, locatedInCityKnownAs, International City of Peace and Justice]
-
A.
basedInCity
Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
-
B.
locatedInCityWithSignificance
chosen
Indicates that an entity is located in a city that holds particular importance or notable significance (e.g., historical, cultural, political, or economic).
-
C.
discoveredInCity
Indicates that something was found, identified, or uncovered within the boundaries of a particular city.
-
D.
cityLocatedIn
Indicates that a city is geographically situated within a specified larger administrative or territorial region.
-
E.
representedCity
Indicates that an entity serves as the official representative or proxy for a particular city.
- 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_69f01a58a67c819097936d9e8da8d6e6 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
Created at: April 28, 2026, 2:43 a.m.