Triple
T9827469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solidaridad Municipality |
E238693
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Xpu-Ha |
E521018
|
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: Xpu-Ha | Statement: [Solidaridad Municipality, contains, Xpu-Ha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xpu-Ha Context triple: [Solidaridad Municipality, contains, Xpu-Ha]
-
A.
Xpu-Ha
chosen
Xpu-Ha is a tranquil beach destination on Mexico’s Riviera Maya known for its white sand, turquoise waters, and low-key resorts.
-
B.
XU
XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
-
C.
Xia
Xia was the legendary first dynasty in traditional Chinese historiography, traditionally dated to the early Bronze Age and often regarded as the beginning of Chinese dynastic civilization.
-
D.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
-
E.
Xan
Xan is a short, informal diminutive of the given name Xander.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb324e7848190b9424a78ca653afe |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc88a86c819088f259a049eec4db |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:32 p.m.