Triple
T20061681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Hodgkin |
E499489
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Jaffa |
—
|
NE NERFINISHED |
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: Jaffa | Statement: [Thomas Hodgkin, burialPlace, Jaffa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaffa Context triple: [Thomas Hodgkin, burialPlace, Jaffa]
-
A.
Jaffa
chosen
Jaffa is an ancient port city on the Mediterranean coast, now part of Tel Aviv-Yafo in Israel, known for its historic harbor, mixed Arab-Jewish population, and continuous habitation since antiquity.
-
B.
Ramla
Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
-
C.
ʿAkka
ʿAkka is a historic port city on the Mediterranean coast of northern Israel, renowned for its well-preserved Crusader-era architecture and diverse cultural heritage.
-
D.
Kfar Saba
Kfar Saba is a city in central Israel, known as a suburban and commercial hub in the Sharon plain near Tel Aviv.
-
E.
مدينة أريحا
مدينة أريحا هي مدينة فلسطينية تاريخية في غور الأردن تُعد من أقدم مدن العالم المأهولة بالسكان وتشتهر بموقعها الزراعي والسياحي المهم.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637601dc8190a07fc20844093cb7 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:38 p.m.