Triple
T37369509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gate of Writhen Iron |
E927799
|
entity |
| Predicate | cityTypeGuarded |
P187786
|
FINISHED |
| Object | hidden city |
—
|
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: hidden city | Statement: [Gate of Writhen Iron, cityTypeGuarded, hidden city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityTypeGuarded Context triple: [Gate of Writhen Iron, cityTypeGuarded, hidden city]
-
A.
cityServedType
Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
-
B.
cityGroupType
Indicates the classification or category type assigned to a group of cities within a larger organizational or geographic structure.
-
C.
isInCity
Indicates that one entity is located within the geographical boundaries of a specified city.
-
D.
isCity
Indicates that the subject entity is classified as a city.
-
E.
isUrbanAreaOfType
Indicates that a given area is classified as belonging to a specific type or category of urban area (e.g., city, town, suburb).
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb8c37931c81909da038c18ed9add2 |
completed | May 6, 2026, 6:45 p.m. |
Created at: May 3, 2026, 4:16 p.m.