Triple
T24605018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Port-au-Prince |
E608940
|
entity |
| Predicate | countryCapitalArrondissement |
P156719
|
FINISHED |
| Object | Haiti |
E4291
|
NE 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: Haiti | Statement: [Arrondissement of Port-au-Prince, countryCapitalArrondissement, Haiti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalArrondissement Context triple: [Arrondissement of Port-au-Prince, countryCapitalArrondissement, Haiti]
-
A.
capitalOfArrondissement
Indicates that a place serves as the administrative capital (seat) of a specified arrondissement.
-
B.
capitalOfCommune
Indicates that one place serves as the administrative capital or chief town of a given commune.
-
C.
countryCapitalOfProvince
Indicates that a country serves as the capital or primary administrative center of a specified province.
-
D.
cityLocatedInDepartment
Indicates that a city is geographically and administratively situated within a specific department.
-
E.
countryCapitalOfMunicipality
Indicates that a country serves as the capital or primary administrative seat of a specified municipality.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ff8846ee481908d82e2c5f2dd8cf9 |
completed | May 22, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:31 a.m.