Triple
T37813637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallipoli |
E942715
|
entity |
| Predicate | oldTownFeature |
P5084
|
FINISHED |
| Object | fortified walls |
—
|
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: fortified walls | Statement: [Gallipoli, oldTownFeature, fortified walls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oldTownFeature Context triple: [Gallipoli, oldTownFeature, fortified walls]
-
A.
oldTownCharacter
Indicates that something possesses the distinctive qualities or atmosphere typically associated with an old town.
-
B.
oldTownStatus
Indicates that a place holds the designation or characteristics of being an old or historic town.
-
C.
dwellingFeature
Indicates that a dwelling possesses or is characterized by a particular feature or attribute.
-
D.
traditionalHomeOf
Indicates that a place is historically or customarily regarded as the primary homeland or origin location of a particular group or culture.
-
E.
typicalFeatures
chosen
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.