Triple
T7160790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saida campus |
E166936
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Saida |
E645855
|
NE 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: Saida | Statement: [Saida campus, city, Saida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saida Context triple: [Saida campus, city, Saida]
-
A.
Saida
chosen
Saida is a historic coastal city in southern Lebanon known for its ancient Phoenician heritage, bustling seaport, and well-preserved archaeological sites.
-
B.
Nago
Nago is a coastal city in northern Okinawa, Japan, known for its beaches, subtropical climate, and role as a regional commercial and cultural center.
-
C.
Hita
Hita is a historic city in Ōita Prefecture on Japan’s Kyushu island, known for its preserved traditional townscape, riverside setting, and summer festivals.
-
D.
Yawata
Yawata is a city in Japan known for its historic Iwashimizu Hachimangū Shrine and its location in the southern part of Kyoto Prefecture.
-
E.
Samurzakano
Samurzakano is a historical region in western Georgia traditionally inhabited by Mingrelians and known for its distinct cultural and linguistic heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82ce770819081dccf7ffd50c2ab |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8fae30481909c39d68fb828a2c0 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:47 p.m.