Triple
T8456549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper City |
E199932
|
entity |
| Predicate | directionWithinCity |
P82745
|
FINISHED |
| Object | southern part of Hattusa |
—
|
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: southern part of Hattusa | Statement: [Upper City, directionWithinCity, southern part of Hattusa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionWithinCity Context triple: [Upper City, directionWithinCity, southern part of Hattusa]
-
A.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
-
B.
distanceFromCityCenterDirection
Indicates the distance and compass direction of a location relative to the center of a specified city.
-
C.
directionFromCityCentre
Indicates the compass direction in which one location lies relative to the city centre.
-
D.
geographicDirectionWithinCountry
Indicates that one place lies in a specified cardinal or intercardinal direction relative to another place within the same country.
-
E.
cityWide
Indicates that something applies to, affects, or extends across an entire city.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48f180c8190a71cf9d7248ade60 |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:10 p.m.