Triple
T8439113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahid Beheshti Metro Station |
E199304
|
entity |
| Predicate | hasCountryCapitalStatus |
P83368
|
FINISHED |
| Object | located in capital of Iran |
—
|
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: located in capital of Iran | Statement: [Shahid Beheshti Metro Station, hasCountryCapitalStatus, located in capital of Iran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryCapitalStatus Context triple: [Shahid Beheshti Metro Station, hasCountryCapitalStatus, located in capital of Iran]
-
A.
homeCountryCapital
Indicates that a given city is the capital of a specified country that serves as an entity’s home or origin.
-
B.
regionCapitalStatus
Indicates that one entity serves as the capital of a specified region or administrative area in relation to another entity.
-
C.
hasCountryCapitalOfProvince
Indicates that a country has a specific city that serves as the capital of one of its provinces.
-
D.
hostsNationalCapitalOf
Indicates that a location serves as the site where the national capital city of a country is situated.
-
E.
connectsCapitalOf
Indicates a relationship where one entity serves as the capital city of another entity, linking the capital to the political or administrative unit it represents.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:08 p.m.